Tzu‐Hsin Karen Chen

624 total citations
15 papers, 414 citations indexed

About

Tzu‐Hsin Karen Chen is a scholar working on Global and Planetary Change, Media Technology and Ecology. According to data from OpenAlex, Tzu‐Hsin Karen Chen has authored 15 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 4 papers in Media Technology and 3 papers in Ecology. Recurrent topics in Tzu‐Hsin Karen Chen's work include Land Use and Ecosystem Services (5 papers), Remote-Sensing Image Classification (4 papers) and Landslides and related hazards (3 papers). Tzu‐Hsin Karen Chen is often cited by papers focused on Land Use and Ecosystem Services (5 papers), Remote-Sensing Image Classification (4 papers) and Landslides and related hazards (3 papers). Tzu‐Hsin Karen Chen collaborates with scholars based in United States, Denmark and Germany. Tzu‐Hsin Karen Chen's co-authors include Alexander V. Prishchepov, Clive E. Sabel, Chunping Qiu, Karen C. Seto, Michael Schmitt, Rasmus Fensholt, Amina Maharjan, Prakash C. Tiwari, Mark Turin and Sara Shneiderman and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Science Advances.

In The Last Decade

Tzu‐Hsin Karen Chen

15 papers receiving 408 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tzu‐Hsin Karen Chen United States 9 244 101 95 85 73 15 414
Mo Su China 9 299 1.2× 69 0.7× 72 0.8× 70 0.8× 125 1.7× 16 466
Arif Masrur United States 10 329 1.3× 82 0.8× 121 1.3× 125 1.5× 160 2.2× 16 555
Fanan Ujoh United Kingdom 12 379 1.6× 52 0.5× 60 0.6× 82 1.0× 71 1.0× 25 588
M. M. Yagoub United Arab Emirates 11 198 0.8× 51 0.5× 68 0.7× 72 0.8× 66 0.9× 35 381
Nor Aizam Adnan Malaysia 9 226 0.9× 55 0.5× 120 1.3× 47 0.6× 125 1.7× 55 437
Shixue You China 10 307 1.3× 57 0.6× 84 0.9× 70 0.8× 63 0.9× 14 436
Huiping Huang China 10 350 1.4× 43 0.4× 102 1.1× 92 1.1× 117 1.6× 23 470
Dimitris Triantakonstantis Greece 11 282 1.2× 51 0.5× 103 1.1× 67 0.8× 59 0.8× 24 403
Panagiotis Politis Italy 10 345 1.4× 28 0.3× 146 1.5× 93 1.1× 98 1.3× 28 561
Leonid Shumilo Ukraine 10 163 0.7× 52 0.5× 78 0.8× 58 0.7× 117 1.6× 44 354

Countries citing papers authored by Tzu‐Hsin Karen Chen

Since Specialization
Citations

This map shows the geographic impact of Tzu‐Hsin Karen Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tzu‐Hsin Karen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tzu‐Hsin Karen Chen more than expected).

Fields of papers citing papers by Tzu‐Hsin Karen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzu‐Hsin Karen Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tzu‐Hsin Karen Chen. The network helps show where Tzu‐Hsin Karen Chen may publish in the future.

Co-authorship network of co-authors of Tzu‐Hsin Karen Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Tzu‐Hsin Karen Chen. A scholar is included among the top collaborators of Tzu‐Hsin Karen Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tzu‐Hsin Karen Chen. Tzu‐Hsin Karen Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Chen, Tzu‐Hsin Karen, et al.. (2025). Multiple hazards and exposure in California: A space-time analysis of temperature, drought, and wildfire. International Journal of Disaster Risk Reduction. 120. 105391–105391. 1 indexed citations
2.
Chen, Tzu‐Hsin Karen, Mark Kincey, Nick Rosser, & Karen C. Seto. (2024). Identifying recurrent and persistent landslides using satellite imagery and deep learning: A 30-year analysis of the Himalaya. The Science of The Total Environment. 922. 171161–171161. 7 indexed citations
3.
Chen, Tzu‐Hsin Karen, et al.. (2024). Migration as a hidden risk factor in seismic fatality: spatial modeling of the Chi-Chi earthquake and suburban syndrome. Natural hazards and earth system sciences. 24(12). 4457–4471. 1 indexed citations
4.
Chen, Tzu‐Hsin Karen, Bhartendu Pandey, & Karen C. Seto. (2023). Detecting subpixel human settlements in mountains using deep learning: A case of the Hindu Kush Himalaya 1990–2020. Remote Sensing of Environment. 294. 113625–113625. 18 indexed citations
5.
Chen, Tzu‐Hsin Karen, Henriette Thisted Horsdal, Karl Samuelsson, et al.. (2023). Higher depression risks in medium- than in high-density urban form across Denmark. Science Advances. 9(21). eadf3760–eadf3760. 13 indexed citations
6.
Chen, Tzu‐Hsin Karen & Karen C. Seto. (2022). Gender and authorship patterns in urban land science. Journal of Land Use Science. 17(1). 245–261. 5 indexed citations
7.
Maharjan, Amina, Prakash C. Tiwari, Tzu‐Hsin Karen Chen, et al.. (2021). Multi-hazard susceptibility and exposure assessment of the Hindu Kush Himalaya. The Science of The Total Environment. 804. 150039–150039. 86 indexed citations
8.
Chen, Tzu‐Hsin Karen, et al.. (2021). Are night-time lights a good proxy of economic activity in rural areas in middle and low-income countries? Examining the empirical evidence from Colombia. Remote Sensing Applications Society and Environment. 24. 100647–100647. 41 indexed citations
9.
Qiu, Chunping, et al.. (2020). A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks. ISPRS Journal of Photogrammetry and Remote Sensing. 163. 152–170. 53 indexed citations
10.
Samuelsson, Karl, Tzu‐Hsin Karen Chen, Sussie Antonsen, et al.. (2020). Residential environments across Denmark have become both denser and greener over 20 years. Environmental Research Letters. 16(1). 14022–14022. 15 indexed citations
11.
Chen, Tzu‐Hsin Karen, et al.. (2020). Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A semantic segmentation solution. Remote Sensing of Environment. 251. 112096–112096. 77 indexed citations
12.
Oehmcke, Stefan, Tzu‐Hsin Karen Chen, Alexander V. Prishchepov, & Fabian Gieseke. (2020). Creating cloud-free satellite imagery from image time series with deep learning. Research at the University of Copenhagen (University of Copenhagen). 1–10. 8 indexed citations
13.
Chen, Tzu‐Hsin Karen, Alexander V. Prishchepov, Rasmus Fensholt, & Clive E. Sabel. (2019). Detecting and monitoring long-term landslides in urbanized areas with nighttime light data and multi-seasonal Landsat imagery across Taiwan from 1998 to 2017. Remote Sensing of Environment. 225. 317–327. 75 indexed citations
14.
Chen, Tzu‐Hsin Karen, et al.. (2018). Revisiting the role of rainfall variability and its interactive effects with the built environment in urban dengue outbreaks. Applied Geography. 101. 14–22. 12 indexed citations
15.
Chen, Tzu‐Hsin Karen, et al.. (2017). Distinguishing the windthrow and hydrogeological effects of typhoon impact on agricultural lands: an integrative OBIA and PPGIS approach. International Journal of Remote Sensing. 39(1). 131–148. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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